Date: Tue, 05 Nov 1996 00:40:48 GMT
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<TITLE> Publications of the UW ML Research Group </TITLE>
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<!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><A HREF="http://www.cs.wisc.edu/~shavlik/uwml.html">
	 <!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/mlrg-logo.gif"> </A>
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This page contains relevant information about publications by the members of the <!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><A HREF="http://www.cs.wisc.edu/~shavlik/uwml.html">Machine Learning Research Group</A> (MLRG) at the University of Wisconsin - Madison.
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<DD> <!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/redball.gif">
	<!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><A HREF="#article"> Journal Articles </A>
<DD> <!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/redball.gif">
	<!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><A HREF="#inproceedings"> Conference Papers </A>
<DD> <!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/redball.gif">
	<!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><A HREF="#incollection"> Book Chapters </A>
<DD> <!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/redball.gif">
	<!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><A HREF="#inworkshop"> Workshop Papers </A>
<DD> <!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/redball.gif">
	<!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><A HREF="#techreport"> Tech Reports </A>
<DD> <!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/redball.gif">
	<!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><A HREF="#phdthesis"> PhD Theses </A>
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<!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/abstracts"> Bibtex file </A>
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<H2> <A NAME="article"> Journal Articles </A> </H2>
<P>
<UL>
<LI> <B> R. Maclin & J. W. Shavlik (1996). </B>
<!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.mlj96.ps">  Creating Advice-Taking Reinforcement Learners</A>.
 <CITE> Machine Learning</CITE>, 22, pp. 251-281.
<BR>
<!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.mlj96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> D. W. Opitz & J. W. Shavlik (1995). </B>
<BR>
<!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.kbs95.ps">  Dynamically Adding Symbolically Meaningful Nodes to Knowledge-Based Neural Networks</A>.
 <CITE> Knowledge-Based Systems</CITE>, 8, pp. 301-311.
<BR>
<!WA20><!WA20><!WA20><!WA20><!WA20><!WA20><!WA20><!WA20><!WA20><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.kbs95.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> K. J. Cherkauer (1995). </B>
<BR>
<!WA21><!WA21><!WA21><!WA21><!WA21><!WA21><!WA21><!WA21><!WA21><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.informatica95.ps">  Stuffing Mind into Computer: Knowledge and Learning for Intelligent Systems</A>.
 <CITE> Informatica</CITE>, 19, pp. 501-511.
<BR>
<!WA22><!WA22><!WA22><!WA22><!WA22><!WA22><!WA22><!WA22><!WA22><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.informatica95.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> J. W. Shavlik (1994). </B>
<BR>
<!WA23><!WA23><!WA23><!WA23><!WA23><!WA23><!WA23><!WA23><!WA23><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/shavlik.tr92.ps">  A Framework for Combining Symbolic and Neural Learning</A>.
 <CITE> Machine Learning</CITE>, 14, pp. 321-331.
<BR>
(The on-line file is an extended version of the journal article.)
<BR>
<!WA24><!WA24><!WA24><!WA24><!WA24><!WA24><!WA24><!WA24><!WA24><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/shavlik.tr92.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell & J. W. Shavlik (1994). </B>
<BR>
<!WA25><!WA25><!WA25><!WA25><!WA25><!WA25><!WA25><!WA25><!WA25><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.aij94.ps">  Knowledge-Based Artificial Neural Networks</A>.
 <CITE> Artificial Intelligence</CITE>, 70, pp. 119-165.
<BR>
<!WA26><!WA26><!WA26><!WA26><!WA26><!WA26><!WA26><!WA26><!WA26><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.aij94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1993). </B>
<BR>
<!WA27><!WA27><!WA27><!WA27><!WA27><!WA27><!WA27><!WA27><!WA27><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.mlj93.ps">  Using Knowledge-based Neural Networks To Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding</A>.
 <CITE> Machine Learning</CITE>, 11, pp. 195-215.
<BR>
<!WA28><!WA28><!WA28><!WA28><!WA28><!WA28><!WA28><!WA28><!WA28><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.mlj93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell & J. W. Shavlik (1993). </B>
<BR>
<!WA29><!WA29><!WA29><!WA29><!WA29><!WA29><!WA29><!WA29><!WA29><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.mlj93.ps">  The Extraction of Refined Rules from Knowledge-Based Neural Networks</A>.
 <CITE> Machine Learning</CITE>, 13, pp. 71-101.
<BR>
<!WA30><!WA30><!WA30><!WA30><!WA30><!WA30><!WA30><!WA30><!WA30><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.mlj93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1993). </B>
<BR>
<!WA31><!WA31><!WA31><!WA31><!WA31><!WA31><!WA31><!WA31><!WA31><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.mlrgwp93.ps">  Machine Learning Approaches to Gene Recognition</A>.
 <CITE> IEEE Expert</CITE>, 9.
<BR>
(The on-line file is a variant of the journal article.)
<BR>
<!WA32><!WA32><!WA32><!WA32><!WA32><!WA32><!WA32><!WA32><!WA32><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.mlrgwp93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1992). </B>
<BR>
<!WA33><!WA33><!WA33><!WA33><!WA33><!WA33><!WA33><!WA33><!WA33><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.ijait93.ps">  Visualizing Learning and Computation in Artificial Neural Networks</A>.
 <CITE> International Journal on Artificial Intelligence Tools</CITE>, 1, pp. 399-425.
<BR>
<!WA34><!WA34><!WA34><!WA34><!WA34><!WA34><!WA34><!WA34><!WA34><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.ijait93.ps.abstract.html">  Abstract</A>.
<P>

</UL>
<HR>

<H2> <A NAME="inproceedings"> Conference Papers </A> </H2>
<P>
<UL>
<LI> <B> D. W. Opitz & J. W. Shavlik (1996). </B>
<!WA35><!WA35><!WA35><!WA35><!WA35><!WA35><!WA35><!WA35><!WA35><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA36><!WA36><!WA36><!WA36><!WA36><!WA36><!WA36><!WA36><!WA36><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.nips96.ps">  Generating Accurate and Diverse Members of a Neural-Network Ensemble</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, Denver, CO.  MIT Press.
<BR>
<!WA37><!WA37><!WA37><!WA37><!WA37><!WA37><!WA37><!WA37><!WA37><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.nips96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> K. J. Cherkauer & J. W. Shavlik (1996). </B>
<!WA38><!WA38><!WA38><!WA38><!WA38><!WA38><!WA38><!WA38><!WA38><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA39><!WA39><!WA39><!WA39><!WA39><!WA39><!WA39><!WA39><!WA39><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.nips96.ps">  Rapid Quality Estimation of Neural Network Input Representations</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, pp. 45-51, Denver, CO.  MIT Press.
<BR>
<!WA40><!WA40><!WA40><!WA40><!WA40><!WA40><!WA40><!WA40><!WA40><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.nips96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1996). </B>
<!WA41><!WA41><!WA41><!WA41><!WA41><!WA41><!WA41><!WA41><!WA41><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA42><!WA42><!WA42><!WA42><!WA42><!WA42><!WA42><!WA42><!WA42><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.nips96.ps">  Extracting Tree-Structured Representations of Trained Networks</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, Denver, CO.  MIT Press.
<BR>
<!WA43><!WA43><!WA43><!WA43><!WA43><!WA43><!WA43><!WA43><!WA43><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.nips96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> C.F. Allex, S.F. Baldwin, J.W. Shavlik, & F.R. Blattner (1996). </B>
<!WA44><!WA44><!WA44><!WA44><!WA44><!WA44><!WA44><!WA44><!WA44><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA45><!WA45><!WA45><!WA45><!WA45><!WA45><!WA45><!WA45><!WA45><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/allex.ismb96.ps">  Improving the Quality of Automatic DNA Sequence Assembly using Fluorescent Trace-Data Classifications</A>.
 <CITE> Proceedings, Fourth International Conference on Intelligent Systems for Molecular Biology</CITE>, pp. 3-14, St. Louis, MO.  AAAI Press.
<BR>
<!WA46><!WA46><!WA46><!WA46><!WA46><!WA46><!WA46><!WA46><!WA46><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/allex.ismb96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> K.J. Cherkauer & J.W. Shavlik (1996). </B>
<!WA47><!WA47><!WA47><!WA47><!WA47><!WA47><!WA47><!WA47><!WA47><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA48><!WA48><!WA48><!WA48><!WA48><!WA48><!WA48><!WA48><!WA48><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.kdd96.ps">  Growing Simpler Decision Trees to Facilitate Knowledge Discovery</A>.
 <CITE> Proceedings, Second International Conference on Knowledge Discovery and Data Mining</CITE>, pp. 315-318, Portland, OR.  AAAI Press.
<BR>
<!WA49><!WA49><!WA49><!WA49><!WA49><!WA49><!WA49><!WA49><!WA49><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.kdd96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> J. C. Jackson & M. W. Craven (1996). </B>
<!WA50><!WA50><!WA50><!WA50><!WA50><!WA50><!WA50><!WA50><!WA50><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA51><!WA51><!WA51><!WA51><!WA51><!WA51><!WA51><!WA51><!WA51><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/jackson.nips96.ps">  Learning Sparse Perceptrons</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, Denver, CO.  MIT Press.
<BR>
<!WA52><!WA52><!WA52><!WA52><!WA52><!WA52><!WA52><!WA52><!WA52><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/jackson.nips96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> J. W. Shavlik (1996). </B>
<!WA53><!WA53><!WA53><!WA53><!WA53><!WA53><!WA53><!WA53><!WA53><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA54><!WA54><!WA54><!WA54><!WA54><!WA54><!WA54><!WA54><!WA54><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/shavlik.icnn96.ps">  An Overview of Research at Wisconsin on Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the International Conference on Neural Networks</CITE>, pp. 65-69, Washington, DC.
<BR>
<!WA55><!WA55><!WA55><!WA55><!WA55><!WA55><!WA55><!WA55><!WA55><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/shavlik.icnn96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1995). </B>
<BR>
<!WA56><!WA56><!WA56><!WA56><!WA56><!WA56><!WA56><!WA56><!WA56><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.ijcai95.ps">  Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks</A>.
 <CITE> Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence</CITE>, pp. 524-530, Montreal, Canada.
<BR>
<!WA57><!WA57><!WA57><!WA57><!WA57><!WA57><!WA57><!WA57><!WA57><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.ijcai95.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven, R. J. Mural, L. J. Hauser & E. C. Uberbacher (1995). </B>
<BR>
<!WA58><!WA58><!WA58><!WA58><!WA58><!WA58><!WA58><!WA58><!WA58><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.ismb95.ps">  Predicting Protein Folding Classes without Overly Relying on Homology</A>.
 <CITE> Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology</CITE>, pp. 98-106, Cambridge, England.  AAAI Press.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1994). </B>
<BR>
<!WA59><!WA59><!WA59><!WA59><!WA59><!WA59><!WA59><!WA59><!WA59><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.mlc94.ps">  Using Sampling and Queries to Extract Rules from Trained Neural Networks</A>.
 <CITE> Proceedings of the Eleventh International Conference on Machine Learning</CITE>, pp. 37-45, New Brunswick, NJ.
<BR>
<!WA60><!WA60><!WA60><!WA60><!WA60><!WA60><!WA60><!WA60><!WA60><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.mlc94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1994). </B>
<BR>
<!WA61><!WA61><!WA61><!WA61><!WA61><!WA61><!WA61><!WA61><!WA61><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.aaai94.ps">  Incorporating Advice into Agents that Learn from Reinforcements</A>.
 <CITE> Proceedings of the Twelfth National Conference on Artificial Intelligence</CITE>, pp. 694-699, Seattle, WA.
<BR>
<!WA62><!WA62><!WA62><!WA62><!WA62><!WA62><!WA62><!WA62><!WA62><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.aaai94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> D. W. Opitz & J. W. Shavlik (1994). </B>
<BR>
<!WA63><!WA63><!WA63><!WA63><!WA63><!WA63><!WA63><!WA63><!WA63><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.mlc94.ps">  Using Genetic Search to Refine Knowledge-Based Neural Networks</A>.
 <CITE> Machine Learning: Proceedings of the Eleventh International Conference</CITE>, pp. 208-216, New Brunswick, NJ.  Morgan Kaufmann.
<BR>
<!WA64><!WA64><!WA64><!WA64><!WA64><!WA64><!WA64><!WA64><!WA64><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.mlc94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1993). </B>
<BR>
<!WA65><!WA65><!WA65><!WA65><!WA65><!WA65><!WA65><!WA65><!WA65><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.hicss93.ps">  Learning to Predict Reading Frames in E . coli DNA Sequences</A>.
 <CITE> Proceedings of the 26th Hawaii International Conference on System Sciences</CITE>, pp. 773-782, Wailea, HI.  IEEE Computer Society Press.
<BR>
<!WA66><!WA66><!WA66><!WA66><!WA66><!WA66><!WA66><!WA66><!WA66><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.hicss93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1993). </B>
<BR>
<!WA67><!WA67><!WA67><!WA67><!WA67><!WA67><!WA67><!WA67><!WA67><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.ijcai93.ps">  Learning to Represent Codons: A Challenge Problem for Constructive Induction</A>.
 <CITE> Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence</CITE>, pp. 1319-1324, Chambery, France.
<BR>
<!WA68><!WA68><!WA68><!WA68><!WA68><!WA68><!WA68><!WA68><!WA68><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.ijcai93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1993). </B>
<BR>
<!WA69><!WA69><!WA69><!WA69><!WA69><!WA69><!WA69><!WA69><!WA69><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.mlc93.ps">  Learning Symbolic Rules Using Artificial Neural Networks</A>.
 <CITE> Proceedings of the Tenth International Conference on Machine Learning</CITE>, pp. 73-80, Amherst, MA.  Morgan Kaufmann.
<BR>
<!WA70><!WA70><!WA70><!WA70><!WA70><!WA70><!WA70><!WA70><!WA70><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.mlc93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> K. J. Cherkauer & J. W. Shavlik (1993). </B>
<BR>
<!WA71><!WA71><!WA71><!WA71><!WA71><!WA71><!WA71><!WA71><!WA71><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.ismb93.ps">  Protein Structure Prediction: Selecting Salient Features From Large Candidate Pools</A>.
 <CITE> Proceedings of the First International Conference on Intelligent Systems for Molecular Biology</CITE>, pp. 74-82, Bethesda, MD.  AAAI Press.
<BR>
<!WA72><!WA72><!WA72><!WA72><!WA72><!WA72><!WA72><!WA72><!WA72><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.ismb93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> D. W. Opitz & J. W. Shavlik (1993). </B>
<BR>
<!WA73><!WA73><!WA73><!WA73><!WA73><!WA73><!WA73><!WA73><!WA73><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.ijcai93.ps">  Heuristically Expanding Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence</CITE>, pp. 1360-1365, Chambery, France.
<BR>
<!WA74><!WA74><!WA74><!WA74><!WA74><!WA74><!WA74><!WA74><!WA74><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.ijcai93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell & J. W.Shavlik (1992). </B>
<BR>
<!WA75><!WA75><!WA75><!WA75><!WA75><!WA75><!WA75><!WA75><!WA75><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.aaai92.ps">  Using Symbolic Learning to Improve Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the Tenth National Conference on Artificial Intelligence</CITE>, pp. 177-182, San Jose, CA.
<BR>
<!WA76><!WA76><!WA76><!WA76><!WA76><!WA76><!WA76><!WA76><!WA76><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.aaai92.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. M. Scott, J. W. Shavlik & W. H. Ray (1992). </B>
<BR>
<!WA77><!WA77><!WA77><!WA77><!WA77><!WA77><!WA77><!WA77><!WA77><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/scott.nips4.ps">  Refining PID Controllers using Neural Networks</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, pp. 555-562, Denver, CO.  Morgan Kaufmann.
<BR>
<!WA78><!WA78><!WA78><!WA78><!WA78><!WA78><!WA78><!WA78><!WA78><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/scott.nips4.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell & J. W. Shavlik (1992). </B>
<BR>
<!WA79><!WA79><!WA79><!WA79><!WA79><!WA79><!WA79><!WA79><!WA79><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.nips4.ps">  Interpretation of Artificial Neural Networks: Mapping knowledge-based Neural Networks into Rules</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, pp. 977-984, Denver, CO.  Morgan Kaufmann.
<BR>
<!WA80><!WA80><!WA80><!WA80><!WA80><!WA80><!WA80><!WA80><!WA80><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.nips4.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1992). </B>
<BR>
<!WA81><!WA81><!WA81><!WA81><!WA81><!WA81><!WA81><!WA81><!WA81><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.aaai92.ps">  Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding</A>.
 <CITE> Proceedings of the Tenth National Conference on Artificial Intelligence</CITE>, pp. 165-170, San Jose, CA.
<BR>
<!WA82><!WA82><!WA82><!WA82><!WA82><!WA82><!WA82><!WA82><!WA82><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.aaai92.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. O. Noordewier, G. G. Towell & J. W. Shavlik (1991). </B>
<BR>
<!WA83><!WA83><!WA83><!WA83><!WA83><!WA83><!WA83><!WA83><!WA83><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/noordewier.nips3.ps">  Training Knowledge-Based Neural Networks to Recognize Genes in DNA Sequences</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, pp. 530-536, Denver, CO.  Morgan Kaufmann.
<BR>
<!WA84><!WA84><!WA84><!WA84><!WA84><!WA84><!WA84><!WA84><!WA84><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/noordewier.nips3.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell, J. W. Shavlik & M. O. Noordewier (1990). </B>
<BR>
<!WA85><!WA85><!WA85><!WA85><!WA85><!WA85><!WA85><!WA85><!WA85><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.aaai90.ps">  Refinement of Approximate Domain Theories by Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the Eighth National Conference on Artificial Intelligence</CITE>, pp. 861-866, Boston, MA.
<BR>
<!WA86><!WA86><!WA86><!WA86><!WA86><!WA86><!WA86><!WA86><!WA86><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.aaai90.ps.abstract.html">  Abstract</A>.
<P>

</UL>
<HR>

<H2> <A NAME="incollection"> Book Chapters </A> </H2>
<P>
<UL>
<LI> <B> D. W. Opitz & J. W. Shavlik (1995). </B>
<BR>
<!WA87><!WA87><!WA87><!WA87><!WA87><!WA87><!WA87><!WA87><!WA87><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.clnl95.ps">  Using Heuristic Search to Expand Knowledge-Based Neural Networks</A>.
 In T. Petsche, S. Hanson & J. Shavlik, editors, <CITE> Computational Learning Theory and Natural Learning Systems, Volume III</CITE>.  MIT Press.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1995). </B>
<BR>
<!WA88><!WA88><!WA88><!WA88><!WA88><!WA88><!WA88><!WA88><!WA88><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.mlrgwp92.ps">  Investigating the Value of a Good Input Representation</A>.
 In T. Petsche, S. Hanson & J. Shavlik, editors, <CITE> Computational Learning Theory and Natural Learning Systems, Volume III</CITE>.  MIT Press.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1994). </B>
<BR>
<!WA89><!WA89><!WA89><!WA89><!WA89><!WA89><!WA89><!WA89><!WA89><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.mlrgwp91.ps">  Refining Algorithms with Knowledge-Based Neural Networks: Improving the Chou-Fasman Algorithm for Protein Folding</A>.
 In S. Hanson, G. Drastal & R. Rivest, editors, <CITE> Computational Learning Theory and Natural Learning Systems, Volume I</CITE>.  MIT Press.
<P>

<LI> <B> K. J. Cherkauer & J. W. Shavlik (1994). </B>
<BR>
<!WA90><!WA90><!WA90><!WA90><!WA90><!WA90><!WA90><!WA90><!WA90><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.mpai.ps">  Selecting Salient Features for Machine Learning from Large Candidate Pools through Parallel Decision-Tree Construction</A>.
 In H. Kitano, editor, <CITE> Massively Parallel Artificial Intelligence</CITE>.  AAAI Press/The MIT Press, Menlo Park, CA.

<!WA91><!WA91><!WA91><!WA91><!WA91><!WA91><!WA91><!WA91><!WA91><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.mpai.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell & J. W. Shavlik (1993). </B>
<BR>
<!WA92><!WA92><!WA92><!WA92><!WA92><!WA92><!WA92><!WA92><!WA92><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.ml4.ps">  Refining Symbolic Knowledge Using Neural Networks</A>.
 In R. S. Michalski & G. Tecuci, editors, <CITE> Machine Learning: An Integrated Approach</CITE>.  Morgan Kaufmann, San Mateo, CA.
<P>

</UL>
<HR>

<H2> <A NAME="inworkshop"> Workshop Papers </A> </H2>
<P>
<UL>
<LI> <B> K.J. Cherkauer (1996). </B>
<!WA93><!WA93><!WA93><!WA93><!WA93><!WA93><!WA93><!WA93><!WA93><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA94><!WA94><!WA94><!WA94><!WA94><!WA94><!WA94><!WA94><!WA94><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.aaai-wkshp96.ps">  Human Expert-Level Performance on a Scientific Image Analysis Task by a System Using Combined Artificial Neural Networks</A>.
 <CITE> Working Notes, Integrating Multiple Learned Models for Improving and Scaling Machine Learning Algorithms Wkshp, 13th Nat Conf on Artificial Intelligence</CITE>, pp. 15-21, Portland, OR.

<!WA95><!WA95><!WA95><!WA95><!WA95><!WA95><!WA95><!WA95><!WA95><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.aaai-wkshp96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> K. J. Cherkauer & J. W. Shavlik (1995). </B>
<BR>
<!WA96><!WA96><!WA96><!WA96><!WA96><!WA96><!WA96><!WA96><!WA96><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.ijcai-wkshp95.ps">  Rapidly Estimating the Quality of Input Representations for Neural Networks</A>.
 <CITE> Working Notes of the IJCAI-95 Workshop on Data Engineering for Inductive Learning, Fourteenth International Joint Conference on Artificial Intelligence</CITE>, Montreal, Quebec, Canada.

<!WA97><!WA97><!WA97><!WA97><!WA97><!WA97><!WA97><!WA97><!WA97><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.ijcai-wkshp95.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1995). </B>
<BR>
<!WA98><!WA98><!WA98><!WA98><!WA98><!WA98><!WA98><!WA98><!WA98><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.ijcai-wkshp95.ps">  Extracting Comprehensible Concept Representations from Trained Neural Networks</A>.
 <CITE> Presented at the IJCAI Workshop on Comprehensibility in Machine Learning</CITE>, Montreal, Quebec, Canada.

<!WA99><!WA99><!WA99><!WA99><!WA99><!WA99><!WA99><!WA99><!WA99><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.ijcai-wkshp95.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> D. W. Opitz & J. W. Shavlik (1994). </B>
<BR>
<!WA100><!WA100><!WA100><!WA100><!WA100><!WA100><!WA100><!WA100><!WA100><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.isiknh94.ps">  Genetically Refining Topologies of Knowledge-Based Neural Networks</A>.
 <CITE> International Symposium on Integrating Knowledge and Neural Heuristics</CITE>, pp. 57-66, Pensacola, FL.

<!WA101><!WA101><!WA101><!WA101><!WA101><!WA101><!WA101><!WA101><!WA101><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.isiknh94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> J. W. Shavlik (1991). </B>
<BR>
<!WA102><!WA102><!WA102><!WA102><!WA102><!WA102><!WA102><!WA102><!WA102><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/shavlik.cbr91.ps">  Finding Genes by Case-Based Reasoning in the Presence of Noisy Case Boundaries</A>.
 <CITE> Proceedings of the DARPA Cased-Based Reasoning Workshop</CITE>, pp. 327-338.

<!WA103><!WA103><!WA103><!WA103><!WA103><!WA103><!WA103><!WA103><!WA103><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/shavlik.cbr91.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell, M. W. Craven & J. W. Shavlik (1991). </B>
<BR>
<!WA104><!WA104><!WA104><!WA104><!WA104><!WA104><!WA104><!WA104><!WA104><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.mlc91.ps">  Constructive Induction in Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the Eighth International Machine Learning Workshop</CITE>, pp. 213-217, Evanston, IL.

<!WA105><!WA105><!WA105><!WA105><!WA105><!WA105><!WA105><!WA105><!WA105><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.mlc91.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1991). </B>
<BR>
<!WA106><!WA106><!WA106><!WA106><!WA106><!WA106><!WA106><!WA106><!WA106><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.mlc91.ps">  Refining Domain Theories Expressed as Finite-State Automata</A>.
 <CITE> Proceedings of the Eighth International Machine Learning Workshop</CITE>, pp. 524-528, Evanston, IL.

<!WA107><!WA107><!WA107><!WA107><!WA107><!WA107><!WA107><!WA107><!WA107><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.mlc91.ps.abstract.html">  Abstract</A>.
<P>

</UL>
<HR>

<H2> <A NAME="techreport"> Tech Reports (not published elsewhere) </A> </H2>
<P>
<UL>
<LI> <B> D. W. Opitz & J. W. Shavlik (1995). </B>
<BR>
<!WA108><!WA108><!WA108><!WA108><!WA108><!WA108><!WA108><!WA108><!WA108><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.mlrgwp95.ps">  Generating Accurate and Diverse Members of a Neural-Network Ensemble</A>.
 Department of Computer Sciences, University of Wisconsin, Machine Learning Research Group Working Paper 95-2.
<BR>
(A version of this paper appears in Advances in Neural Information Processing, vol. 8, 1996)

<!WA109><!WA109><!WA109><!WA109><!WA109><!WA109><!WA109><!WA109><!WA109><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.mlrgwp95.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1994). </B>
<BR>
<!WA110><!WA110><!WA110><!WA110><!WA110><!WA110><!WA110><!WA110><!WA110><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.tr94.ps">  Incorporating Advice into Agents that Learn from Reinforcements</A>.
 Department of Computer Sciences, University of Wisconsin, UW TR 1227.
<BR>
(A shorter version appears in AAAI-94.)

<!WA111><!WA111><!WA111><!WA111><!WA111><!WA111><!WA111><!WA111><!WA111><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.tr94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> E. Gutstein (1992). </B>
<BR>
<!WA112><!WA112><!WA112><!WA112><!WA112><!WA112><!WA112><!WA112><!WA112><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/gutstein.mlrgwp92.ps">  Learning from Students to Improve an Intelligent Tutoring System</A>.
 Department of Computer Sciences, University of Wisconsin, Machine Learning Research Group Working Paper 92-3.
<P>

</UL>
<HR>

<H2> <A NAME="phdthesis"> PhD Theses </A> </H2>
<P>
<UL>
<LI> <B> M. W. Craven (1996). </B>
<!WA113><!WA113><!WA113><!WA113><!WA113><!WA113><!WA113><!WA113><!WA113><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA114><!WA114><!WA114><!WA114><!WA114><!WA114><!WA114><!WA114><!WA114><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.thesis.ps">  Extracting Comprehensible Models from Trained Neural Networks</A>.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<BR>
(Also appears as UW Technical Report CS-TR-96-1326)

<!WA115><!WA115><!WA115><!WA115><!WA115><!WA115><!WA115><!WA115><!WA115><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.thesis.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> D. W. Opitz (1995). </B>
<BR>
<!WA116><!WA116><!WA116><!WA116><!WA116><!WA116><!WA116><!WA116><!WA116><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.thesis.ps">  An Anytime Approach to Connectionist Theory Refinement: Refining the Topologies of Knowledge-Based Neural Networks</A>.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<BR>
(Also appears as UW Technical Report CS-TR-95-1281)

<!WA117><!WA117><!WA117><!WA117><!WA117><!WA117><!WA117><!WA117><!WA117><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.thesis.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin (1995). </B>
<BR>
Learning from Instruction and Experience: Methods for Incorporating Procedural Domain Theories into Knowledge-Based Neural Networks.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<BR>
(Also appears as UW Technical Report CS-TR-95-1285)

<!WA118><!WA118><!WA118><!WA118><!WA118><!WA118><!WA118><!WA118><!WA118><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.thesis.firsthalf.ps.abstract.html">  Abstract</A>.
<BR><BR>
(This publication is contained in several postscript files.)
<BR>
<!WA119><!WA119><!WA119><!WA119><!WA119><!WA119><!WA119><!WA119><!WA119><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.thesis.firsthalf.ps">  part 1 </A>
<BR>
<!WA120><!WA120><!WA120><!WA120><!WA120><!WA120><!WA120><!WA120><!WA120><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.thesis.secondhalf.ps">  part 2 </A>
<BR>
<P>

<LI> <B> Eric Gutstein (1993). </B>
<BR>
SIFT: A Self-Improving Fractions Tutor.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<P>

<LI> <B> G. G. Towell (1991). </B>
<BR>
Symbolic Knowledge and Neural Networks: Insertion, Refinement and Extraction.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<BR>
(Also appears as UW Technical Report 1072 [out of print].)

<!WA121><!WA121><!WA121><!WA121><!WA121><!WA121><!WA121><!WA121><!WA121><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.thesis.1-2.ps.abstract.html">  Abstract</A>.
<BR><BR>
(This publication is contained in several postscript files.)
<BR>
<!WA122><!WA122><!WA122><!WA122><!WA122><!WA122><!WA122><!WA122><!WA122><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.thesis.1-2.ps">  part 1 </A>
<BR>
<!WA123><!WA123><!WA123><!WA123><!WA123><!WA123><!WA123><!WA123><!WA123><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.thesis.3.ps">  part 2 </A>
<BR>
<!WA124><!WA124><!WA124><!WA124><!WA124><!WA124><!WA124><!WA124><!WA124><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.thesis.4-7.ps">  part 3 </A>
<BR>
<!WA125><!WA125><!WA125><!WA125><!WA125><!WA125><!WA125><!WA125><!WA125><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.thesis.app.ps">  part 4 </A>
<BR>
<P>

</UL>
<HR>

<!WA126><!WA126><!WA126><!WA126><!WA126><!WA126><!WA126><!WA126><!WA126><A HREF="http://www.cs.wisc.edu/~shavlik/uwml.html">
<!WA127><!WA127><!WA127><!WA127><!WA127><!WA127><!WA127><!WA127><!WA127><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/return.gif"> </A>
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